Manufacturing operates at the edge — factory floors, production lines, warehouses, and field deployments where latency, reliability, and memory constraints are non-negotiable. Python-based inference engines with 2GB memory footprints and interpreter overhead cannot serve these environments. Prometheus ships as a 50MB binary that fits in 4GB of RAM and starts in under 2 seconds cold.
Quality inspection vision models running at sub-50ms latency. Predictive maintenance on Jetson edge devices with offline buffering and automatic sync when connectivity returns. VLA robots at sub-200ms planning with safety-bounded physical action. Model compression down to 10MB for extreme edge deployment. The same inference engine that runs on a 10,000-GPU cluster runs on a factory-floor edge device — same binary, same API, same governance.